Objective To investigate the correlation between levels of erythrocyte natrium(EN),magnesium(EM),adenosine triphosphate enzyme(Na + K + ATPase,Ca 2+ Mg 2+ ATPase) activity versus urine natrium(UN),urine endogenous digitalis like substances(UEDLS) change in patients with acute cerebral infarction(ACI) Methods 35 patients with ACI were measured in UEDLS,the changes of UN,erythrocyte membrane ATPase activity,and levels EN,EM,and compared with the normal controls Results Levels of UN,UEDLS,EN were significantly elevated( P

Objective:To investigate the risk factors of gout and establish a columnar graph model to predict the risk of gout development.Methods:A total of 1 032 Han Chinese men attending the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University, People′s Hospital of Xinjiang Uygur Autonomous Region, and the First Affiliated Hospital of Xinjiang Medical University from 2018 to 2020 were selected as study subjects and divided into training set(722 cases)and validation set(310 cases)by simple random sampling method in the ratio of 7∶3. General information and biochemical indices of the subjects were collected. The collected information was used to assess the risk of gout prevalence. LASSO regression analysis of R Studio software was used to screen the best predictors, and was introduced to construct a column line graph model for predicting gout risk using receiver operating characteristic(ROC)curves, and the Hosmer-Lemeshow test was used to assess the discrimination and calibration of the column line graph model. Finally, decision curve analysis(DCA)was performed using the rmda program package to assess the clinical utility of the model in validation data.Results:Age, uric acid, body mass index, total cholesterol, and waist-to-hip ratio were risk factors for gout( P<0.05). The column line graph prediction model based on the above five independent risk factors had good discrimination(AUC value: 0.923 for training set validation and 0.922 for validation set validation)and accuracy(Hosmer-Lemeshow test: P>0.05 for validation set validation); decision curve analysis showed that the prediction model curve had clinical practical value. Conclusion:The nomogram model established by combining age, uric acid, body mass index, total cholesterol, and waist-to-hip ratio indicators can predict the risk of gout more accurately.

Objective:To explore the effect of triglyceride glucose(TyG) index, single nucleotide polymorphism of Toll-like receptor 4(TLR4) and NOD-like receptor thermal protein domain associated protein 3(NLRP3) genes, and its interaction on the risk of gout.Methods:A total of 315 male patients with gout and 499 men for health checkup at the same period were selected. General data were collected through questionnaires, and peripheral venous blood was collected for biochemical test. Three single nucleotide polymorphisms(SNPs) of NLRP3 and TLR4 were detected with multiplex ligase assay reaction, and logistic regression analysis was applied to compare the correlation between NLRP3 and TLR4 alleles and gout risk. The interaction of SNP and TyG index with gout was analyzed by generalized multi-factor dimensionality reduction(GMDR) model and logistic regression.Results:After adjusting for smoking, drinking, and other factors, the risk of gout increased by 61.1% for each standard deviation increase in TyG index. CC genotypes of rs10754558, rs10759932, and rs7525979 were high risk genotypes of gout in Han ethnicity. GMDR results showed significant differences in the interaction models of rs10754558-TyG index, rs7525979-TyG index, and rs10759932-TyG index between control group and gout group( P<0.05), suggesting an interaction between the three genotypes of SNPs selected and TyG index. Stratified analysis of the three selected SNPs and TyG index showed that after adjusting for age, smoking, and other factors, the high TyG index patients carrying C/C or C/G genotype at rs10754558 displayed an increased risk of gout compared with those carrying GG genotype and low TyG index( OR=2.127, P<0.05). Conclusion:The CC genotypes of rs10754558, rs10759932, and rs7525979 are high risk genotypes for gout in Han ethnicity. The interaction between rs10754558 and TyG index may increase the risk of gout development.

Objective:The nasal swell body（NSB） consists of the nasal septal cartilage, nasal bone, and swollen soft tissue, all of which are visible during endoscopic and imaging examinations. Although the function of the NSB remains uncertain, there is evidence to suggest that it plays a vital role in regulating nasal airflow and filtering inhaled air. Based on anatomical and histological evidence, it is hypothesized that the NSB is indispensable in these processes. This study aims to investigate the impact of NSB on nasal aerodynamics and the deposition of allergen particles under physiological conditions. Methods:The three-dimensional （3D） nasal models were reconstructed from computed tomography （CT） scans of the paranasal sinus and nasal cavity in 30 healthy adult volunteers from Northwest China, providing basis for the construction of models without NSB following virtual NSB-removal surgery. To analyze the distribution of airflow in the nasal cavity, nasal resistance, heating and humidification efficiency, and pollen particle deposition rate at various anatomical sites, we employed the computed fluid dynamics（CFD） method for numerical simulation and quantitative analysis. In addition, we created fully transparent segmented nasal cavity models through 3D printing, which were used to conduct bionic experiments to measure nasal resistance and allergen particle deposition. Results:①The average width and length of the NSB in healthy adults in Northwest China were （12.85±1.74） mm and （28.30±1.92） mm, respectively. ②After NSB removal, there was no significant change in total nasal resistance, and cross-sectional airflow velocity remained essentially unaltered except for a decrease in topical airflow velocity in the NSB plane. ③There was no discernible difference in the nasal heating and humidification function following the removal of the NSB; ④After NSB removal, the deposition fraction（DF） of Artemisia pollen in the nasal septum decreased, and the DFs post-and pre-NSB removal were（22.79±6.61）% vs （30.70±12.27）%, respectively; the DF in the lower airway increased, and the DFs post-and pre-NSB removal were（24.12±6.59）% vs （17.00±5.57）%, respectively. Conclusion:This study is the first to explore the effects of NSB on nasal airflow, heating and humidification, and allergen particle deposition in a healthy population. After NSB removal from the healthy nasal cavities: ①nasal airflow distribution was mildly altered while nasal resistance showed no significantly changed; ②nasal heating and humidification were not significantly changed; ③the nasal septum's ability to filter out Artemisia pollen was diminished, which could lead to increased deposition of Artemisia pollen in the lower airway.
Adult ; Humans ; Cross-Sectional Studies ; Nasal Cavity/surgery* ; Allergens ; Pollen ; Artemisia ; Hydrodynamics